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» Using Data Mining in MURA Graphic Problems
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118
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SIGGRAPH
1999
ACM
15 years 8 months ago
Implicit Fairing of Irregular Meshes Using Diffusion and Curvature Flow
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable ...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
JBI
2008
137views Bioinformatics» more  JBI 2008»
15 years 3 months ago
Mining sequential patterns for protein fold recognition
Protein data contain discriminative patterns that can be used in many beneficial applications if they are defined correctly. In this work sequential pattern mining (SPM) is utiliz...
Themis P. Exarchos, Costas Papaloukas, Christos La...
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 8 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
134
Voted
AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
15 years 7 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
94
Voted
SDM
2007
SIAM
85views Data Mining» more  SDM 2007»
15 years 5 months ago
Kernel Based Detection of Mislabeled Training Examples
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Hamed Valizadegan, Pang-Ning Tan